Application of symbolic dynamics to characterize coordinated activity in the context of biological neural networks

DOI10.1016/j.jfranklin.2013.03.018zbMath1293.93519OpenAlexW2060042210WikidataQ62634329 ScholiaQ62634329MaRDI QIDQ398263

Roberto Latorre, Pablo Varona, David Arroyo, Francisco B. Rodríguez

Publication date: 15 August 2014

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2013.03.018

zbMATH Keywords

symbolic dynamicsnervous systemcontrol of complex biological systemscoordinated patterns of activityneuronal dynamicsspatio-temporal scales

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Application models in control theory (93C95) Discrete event control/observation systems (93C65) Biological rhythms and synchronization (92B25)

Cites Work

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• The equality of Kolmogorov-Sinai entropy and metric permutation entropy generalized
• Symbolic dynamics and synchronization of coupled map networks with multiple delays
• Control entropy: a complexity measure for nonstationary signals
• Symbolic time series analysis via wavelet-based partitioning
• The entropy profile -- a function describing statistical dependences
• Neural signatures: multiple coding in spiking-bursting cells
• Construction of Markov partitions
• Multivariate empirical mode decomposition
• The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
• How does a choice of Markov partition affect the resultant symbolic dynamics?